Analisis Regresi Logistik Ordinal pada Prestasi Belajar Lulusan Mahasiswa S1 ITS Surabaya Berbasis SKEM

., Zakariyah (2015) Analisis Regresi Logistik Ordinal pada Prestasi Belajar Lulusan Mahasiswa S1 ITS Surabaya Berbasis SKEM. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pentingnya pengembangan soft skill mahasiswa telah tertuang dalam peraturan akademik ITS yang mengharuskan mahasiswa memenuhi nilai SKEM sebagai syarat lulus di ITS. Untuk itulah ITS mulai tahun 2008 memberlakukan Satuan Kegiatan Ekstrakurikuler Kemahasisawaan (SKEM) bagi mahasiswa sebagai salah satu syarat kelulusan (yudisium). Peraturan SKEM diatur melalui Peraturan ITS no 3112/KM/2008 yang kemudian diperbarui dengan Peraturan ITS no 05942/I2/KM/2010. Penelitian ini bertujuan untuk mengetahui faktor – faktor yang mempengaruhi predikat kelulusan SKEM di ITS. Pada penelitian ini digunakan metode regresi logistik ordinal untuk memodelkan. Diperoleh hasil bahwa yang berpengaruh terhadap SKEM adalah fakultas, jenis kelamin, kegiatan organisasi dan prestasi. ============================================================================================ The importance of student soft skill can be seen on ITS’ aca- demic regulation where student is required to pass the SKEM standard to graduate from ITS. Hence from 2008, ITS applied Satuan Kegiatan Ekstrakurikuler Kemahasiswaan (SKEM) as one of the requirements to graduate. SKEM regulated in Peraturan ITS no. 3112/KM/2008 which is then renewed in Peraturan ITS no. 05942/I2/KM/2010 . The purpose of this research is to know what factors that affects SKEM standard passing in ITS. In this research logistic regression method is used in modelling. Results shown that factors that affects SKEM are student’s faculty, gen- der, organization activity, and academic performance.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.537 Zak a
Uncontrolled Keywords: SKEM, Ordinal logistic regression, Soft skill, Regresi logistik ordinal
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Mathematics and Science > Statistics > (S1) Undergraduate Theses
Depositing User: Eny Widiastuti -
Date Deposited: 10 Apr 2018 07:52
Last Modified: 10 Apr 2018 07:52
URI: http://repository.its.ac.id/id/eprint/51724

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